Literature DB >> 27274195

Safety, tolerability, pharmacokinetics, and pharmacodynamics of novel glucokinase activator HMS5552: results from a first-in-human single ascending dose study.

Hongrong Xu1, Lei Sheng1, Weili Chen1, Fei Yuan1, Mengjie Yang1, Hui Li1, Xuening Li1, John Choi2, Guiyu Zhao2, Tianxin Hu2, Yongguo Li2, Yi Zhang2, Li Chen2.   

Abstract

BACKGROUND: HMS5552, a novel fourth-generation glucokinase (GK) activator, has demonstrated promising effects on glycemic control in preclinical models of type 2 diabetes. This single ascending dose study was conducted to investigate the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) of HMS5552 during its first-in-human exposure.
METHODS: Sixty healthy subjects were enrolled. In each of six dose-cohorts (5, 10, 15, 25, 35, and 50 mg), ten subjects were randomized with eight subjects receiving the same cohort-dose of HMS5552 and two receiving placebo. Plasma HMS5552 exposure, glucose, and insulin were measured repeatedly during fasting and after a standardized meal. Assessment included safety, PK, and PD endpoints.
RESULTS: HMS5552 showed dose-proportional increases in area under the curve 0 to the last quantifiable concentration (AUC0-t) and maximum plasma concentration (Cmax). Slopes estimated by linear regression for AUC0-t and Cmax were ~1.0 (0.932 and 0.933, respectively). Geometric mean elimination half-life ranged from 4.48 to 7.51 hours and apparent clearance ranged from 11.5 to 13.1 L/h across all doses. No significant sex effect was observed in PK parameters. HMS5552 also demonstrated dose-related PD responses in terms of maximum glucose change from baseline (%) and mean glucose area under effect curve 0-4 hours change from baseline (%) (P<0.001). Fifteen adverse events were reported by nine subjects (ten with HMS5552 and five with the placebo). All adverse events were mild in intensity and resolved without any treatment.
CONCLUSION: This first-in-human single ascending dose study provided predicted PK of HMS5552 with dose-proportional increases in AUC0-t and Cmax, as well as dose-related glucose-lowering effects over the range of 5-50 mg in healthy subjects. HMS5552 at doses up to 50 mg in healthy subjects was safe and well-tolerated.

Entities:  

Keywords:  HMS5552; glucokinase activator; pharmacodynamics; pharmacokinetics; type 2 diabetes

Mesh:

Substances:

Year:  2016        PMID: 27274195      PMCID: PMC4869670          DOI: 10.2147/DDDT.S105021

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

Type 2 diabetes (T2DM) is a disease typically characterized by a combination of insulin resistance and β-cell dysfunction. Unfortunately, existing antidiabetic drugs used as monotherapy or even combinations of multiple agents have often been inadequate in maintaining glucose control over the long term,1 and have not addressed the problem of progressively deteriorating islet function.2 Therefore, it is urgent to develop additional therapies that not only leverage novel mechanisms-of-action to maintain recommended glycemic targets, but also offer the potential to improve or preserve the health of existing β-cells. GK is a key enzyme that initiates the first step of glucose metabolism by phosphorylating glucose to glucose-6-phosphate.3 In pancreatic β-cells, GK acts as the central rate-limiting enzyme in glucose-stimulated insulin release (GSIR).4,5 In liver cells, GK regulates hepatic glucose utilization, glycolysis, and glycogenesis.6 GK is also present in pancreatic α-cells as well as enteroendocrine L-cells that secrete glucagon-like peptide 1,7 although its role in these cells has been less extensively studied. Importantly, GK shows a sigmoidal glucose dependency and enzyme cooperativity (Hill coefficient nH =1.7)8,9 with stronger activity at high glucose levels, and weaker activity at low glucose levels, thereby acting as a “glucose sensor” that helps facilitate glucose homeostasis.10 Hence, GK activators (GKAs) of the enzyme offer a promising class of drugs that would target multiple mechanisms for glycemic control. It has been shown in previous animal studies that GKAs regulate systemic blood glucose through the variety of mechanisms previously discussed, including directly enhancing insulin release (pancreatic β-cells), inhibiting production of endogenous glucose (hepatocytes), and by indirectly promoting glucagon-like peptide 1 release (enteroendocrine L-cells)9. Additionally, GKAs have been shown to have antiapoptotic effects on β-cells11–13 in preclinical studies that, if definitively confirmed in the clinic, would significantly influence current management of T2DM. HMS5552 is a fourth-generation GKA that was discovered a decade after the first 2003 publication in Science introduced GKAs,14 by the same research labs in the USA, EU, and the People’s Republic of China. The compound has a structurally novel amino-acid-based chemical scaffold and is currently in Phase II clinical trials. Here, we present the results of a randomized, double-blind, placebo-controlled, and single ascending dose (SAD) Phase Ia study of HMS5552 (NCT01952535) to evaluate the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) following oral administration in healthy adult subjects.

Materials and methods

This trial was performed at Zhongshan Hospital, Fudan University, People’s Republic of China, and was conducted in compliance with hospital protocol. The study was approved by the Ethics Committee of Zhongshan Hospital, Fudan University and was carried out in accordance with the Good Clinical Practice and the Declaration of Helsinki. Written informed consents were obtained from all subjects before admission to the study. Clinical trial registration ID: NCT01952535.

Subjects

Subjects (18–45 years of age; body mass index 18–24 kg/m2) were eligible to participate in the study if they were in good general health based on medical history, physical examination, vital signs, electrocardiogram (ECG), fasting plasma glucose (FPG), oral glucose tolerance test, and laboratory measurements (serum biochemistry, hematology, hepatitis, HIV, and urinalysis). Subjects were excluded from the study if they met one of the following criteria: had a history of alcohol abuse; had a history of psychotropic drug or tobacco use; had electrocardiographic abnormality (QT interval corrected for heart rate using Bazett’s method [QTcB] >450 milliseconds or QTcB >30 milliseconds) as determined by ECG; had used an investigational drug within 3 months; or had any clinically relevant abnormalities; had refused to accept effective contraception in the next 3 months after completion of the study. Female subjects were eligible to be enrolled if they were of non-childbearing potential and were excluded if they were lactating or pregnant, as determined by positive human chorionic gonadotropin test at screening or prior to dosing (day −1).

Study design

This study was designed as a single-center, randomized, double-blind, placebo-controlled, parallel-group, and dose-escalation Phase Ia trial of HMS5552 administered to healthy subjects. After eligibility had been confirmed at screening, subjects were assigned to six different dose-cohorts (5, 10, 15, 25, 35, and 50 mg). Within each dose-cohort, ten subjects were randomized to receive either active or matching placebo treatment with a ratio of 4:1 based on a randomized list provided by an independent statistician. Each subject was assigned to only one dose treatment (5, 10, 15, 25, 35, 50 mg, or matching placebo). Subjects were screened between day −28 and day −7 and admitted to the clinic on day −2. Each subject was fasted overnight (at least 8 hours) on Day-1 (baseline) before taking the morning dose of the drug or placebo with 240 mL of water on day 1. Additional water intake was not allowed for 1 hour before and after dose administration. All subjects were served with standardized meals during this study. Per protocol, the first meal was served 4 hours after dose administration in the morning of day 1. Finally, the subjects were discharged on day 4.

Safety assessments

Safety evaluation was conducted throughout the course of the study, which included physical examination, vital signs (eg, blood pressure, heart rate, respiratory rate, and ear temperature), 12-lead ECG, clinical laboratory tests (ie, hematology, serum biochemistry, and urinalysis), adverse events (AEs), and a global assessment of tolerability by the investigator. Vital signs were assessed at screening, at admission (day −2), prior to dosing (day −1), and after dosing (day 1 to day 4). Twelve-lead ECGs were recorded in triplicate on each of day −1 to day 3. Hematology, serum biochemistry, and urinalysis were measured at screening, on day −1 and, on day 3. AEs were graded in accordance with the Common Terminology Criteria for Adverse Events version 4.02.

Determination of HMS5552 concentrations

Blood samples for determination of HMS5552 were collected at the following time points after a single oral administration of HMS5552 on day 1: pre-dose (0), 0.25, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 5, 6, 8, 12, 16, 24, 36, 48, and 72 hours. Meanwhile, urine collection was carried out at pre-dose (0), and at the time intervals of 0–4, 4–8, 8–12, 12–24, 24–36, 36–48, and 48~72 hours. The collected blood samples were immediately centrifuged at 3,500 rpm for 10 minutes at 4°C within 1 hour before being aliquoted into two polypropylene tubes. The aliquots were stored first at −20°C, then at −80°C until further analyses were conducted. As for urine samples, the volume of urine samples was recorded before adding 1% (volume ratio) of 50 mg/mL Triton X-100 solution; after mixing completely, the samples were aliquoted into two polypropylene tubes and stored first at −20°C, then at −80°C until further analyses. HMS5552 concentrations in plasma and urine were determined using a validated liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) assay. The method was validated using plasma or urine samples of HMS5552 in the range of 0.500–500 ng/mL with a lower limit of quantification as 0.500 ng/mL. In brief, the assays were performed as follows: a 100 µL aliquot of each sample, quality control sample, and calibrator was diluted with 50 µL of 13C-labeled internal standard and tert-butyl methyl ether (600 µL for plasma sample, 800 µL for urine sample), shaken at room temperature for 15 minutes and then centrifuged at 4,000 rpm, 5°C for 10 minutes. After centrifugation, a 400 µL aliquot of the supernate was moved into a 96-well plate, dried by nitrogen at 40°C followed by 50% methanol (250 µL for plasma sample, 400 µL for urine sample), and then analyzed by LC-MS/MS after shaking for 10 minutes.

Metabolite identification in plasma and urine

Metabolites of HMS5552 in plasma and urine were identified following a single oral administration of 50 mg to healthy subjects. The metabolites were identified by LC-MSn (n=1~2). The area under the curve (AUC) pooling plasma sample (0~24 hours), and selected time points for both plasma samples (0.5, 1, 2, 4, and 8 hours) and urine samples (0–4, 4–8, 8–12, 12–24, 24–36, and 36–48 hours) were detected on a UPLC/Q-TOF mass spectrometer (Waters Corporation, Milford, MA, USA).

PD methods

Plasma samples for measuring glucose and insulin were taken at the following time points after a single oral administration of HMS5552 on day 1: pre-dose (−0.5, −0.25, and 0 hours), 0.25, 0.5, 1, 2, 3, 4, 4.25, 4.5, 5, and 6 hours. Plasma glucose concentrations were determined by an enzymatic oxidation method (GLU Glucose GOD-PAP, Roche Diagnostics, Mannheim, Germany), while insulin was analyzed by radioimmunoassay (kit catalog number H1-14K, Merck Millipore, Billerica, MA, USA). Plasma glucose levels were used to calculate the following PD parameters: maximum glucose change from baseline (%), mean glucose area under effect curve 0–4 hours (AUEC0–4), mean glucose AUEC0–4 change from baseline (%). Baseline values were obtained on day −1.

PK assessment

Plasma HMS5552 concentrations were used to calculate the following PK parameters: the area under the plasma concentration-time curve from 0 to infinity (AUC0–∞), the area under the plasma concentration-time curve from 0 to the last measured time point (AUC0–t), the maximum plasma concentration (Cmax) and the time to reach (Tmax), the apparent terminal elimination half-life (t1/2), apparent total plasma clearance (CL/f), and apparent volume of apparent distribution during the terminal phase (V/f). The Cmax and Tmax were obtained from the concentration-time data. Urinary concentrations and urine volumes were used to measure the amount of drug excreted in urine from 0 to 72 hours (Ae0–72) and the fraction of unchanged dose excreted in urine from 0 to 72 hours (fe0–72). PK parameters were calculated for the subjects via a non-compartmental method using WinNonlin (version 6.2.1; Pharsight Corporation, Mountain View, CA, USA). AUCs were calculated by the trapezoidal rule.

Statistical analysis

The PK parameters were summarized with geometric mean and standard deviations, except Tmax, for which median values and standard deviations are reported. Dose-proportionality at six dose levels for HMS5552 was assessed. A linear relationship between the logarithmically transformed PK parameters (AUC0–t and Cmax) and dose was fitted by using a power model: where Y represents AUC0–t or Cmax and β presents the dose-proportionality coefficient. Slope β and its 90% confidence intervals (CIs) were calculated to assess the dose-proportionality. Placebo data across groups were pooled in the analysis. All statistical analyses were performed using SPSS software (version 19.0; IBM Corporation, Armonk, NY, USA). The PK properties of HMS5552 were compared not only between single doses but also between female and male subjects using Student’s t-test (α=0.05).

Results

Subject disposition and demographics

Sixty subjects (31 males and 29 females) were enrolled in six treatment groups and subsequently randomized to receive active or placebo treatment. There were four male and four female subjects in each HMS5552 group except the 50 mg HMS5552 group (five male and three female subjects). All demographic and baseline characteristics were comparable among the treatment groups (Table 1).
Table 1

Demographic and baseline characteristics

CategoryHMS5552
Placebo (n=12)Total (N=60)
5 mg (n=8)10 mg (n=8)15 mg (n=8)25 mg (n=8)35 mg (n=8)50 mg (n=8)
Age, years
 Mean (SD)22.9 (3.0)23.3 (2.4)24.3 (2.0)26.6 (3.6)22.0 (2.4)24.0 (2.4)25.8 (3.5)24.2 (3.1)
Sex, n (%)
 Male4 (50)4 (50)4 (50)4 (50)4 (50)5 (62.5)6 (50)31 (51.7)
 Female4 (50)4 (50)4 (50)4 (50)4 (50)3 (37.5)6 (50)29 (48.3)
BMI, kg/m2
 Mean (SD)21.0 (1.9)22.7 (1.3)21.1 (1.1)22.5 (0.8)22.0 (1.0)21.8 (1.7)20.7 (1.4)21.6 (1.5)
FPG, mmol/L
 Mean (SD)a4.8 (0.4)5.2 (0.2)4.9 (0.3)4.9 (0.4)4.8 (0.2)5.0 (0.2)4.9 (0.3)4.9 (0.3)
OGTT, mmol/L
 Mean (SD)b5.5 (1.2)6.0 (0.9)5.4 (0.6)5.2 (0.7)5.4 (1.2)5.9 (1.2)6.1 (0.8)5.7 (1.0)
HbA1c, %
 Mean (SD)5.3 (0.2)5.3 (0.3)5.0 (0.2)5.1 (0.5)5.2 (0.3)5.2 (0.2)5.0 (0.4)5.2 (0.3)

Notes: N, number of subjects;

mean glucose level at baseline = (C−0.5 + C−0.25+ C0)/3; C−0.5, glucose score at 0.5 h pre-dose; C−0.25, glucose score at 0.25 h pre-dose; C0, glucose score before dosing on day 1.

Mean glucose level was detected 2 hours after supplement with 75 g glucose dissolved in 300 mL water at screening.

Abbreviations: BMI, body mass index; SD, standard deviation; FPG, fasting plasma glucose; OGTT, oral glucose tolerance test; h, hour(s); HbA1c, glycated hemoglobin.

Safety and tolerability

Single oral doses of 5, 10, 15, 25, 35, and 50 mg of HMS5552 were safe and well-tolerated in this population of healthy volunteers. No subjects withdrew from the study due to AEs. AEs following HMS5552 or placebo administration are presented in Table 2. Of the 60 subjects, nine (15%) reported a total of 15 AEs following the administration of 5 (1/8), 10 (0/8), 15 (3/8), 25 (2/8), 35 (1/8), 50 mg (0/8) HMS5552, and placebo (2/12), respectively. The incidence of AEs was similar between HMS5552 and placebo (14.6% versus 16.7%, respectively), and all AEs were considered by the investigator to be mild in intensity. No serious AEs were reported, and six treatment-related AEs, including belching, dizziness, palpitation, cold sweat, and proteinuria, were reported in four subjects receiving either HMS5552 or placebo. Treatment-related AEs resolved spontaneously without any intervention. No apparent dose relationship could be observed for any AE.
Table 2

Adverse events following a single oral dose of HMS5552 in healthy subjects

Adverse eventsHMS5552**
Total
5 mg
15 mg
25 mg
35 mg
HMS5552
Placebo
N (%)nN (%)nN (%)nN (%)nN (%)nN (%)n
Number of subjects with any AE132172
Adverse events1 (12.5)23 (37.5)32 (25.0)31 (12.5)27 (14.6)102 (16.7)5
Dizziness1 (12.5)11 (12.5)*12 (4.2)21 (8.3)2
Palpitation1 (12.5)11 (12.5)*12 (4.2)2
Cold sweat1 (12.5)*11 (2.1)1
Nausea1 (12.5)11 (2.1)1
Dry mouth1 (12.5)11 (2.1)1
Vomiting1 (8.3)*1
Belching1 (8.3)*1
Bulbar hyperemia1 (8.3)1
Urinary WBC1 (12.5)11 (12.5)12 (4.2)2
Proteinuria1 (12.5)*11 (2.1)1

Notes: N, number of subjects; n, number of adverse events (AEs).

Adverse event was considered to be related to HMS5552 by the blinded investigator.

No adverse events in the 10 or 50 mg HMS5552 group.

Abbreviation: WBC, white blood cells.

PK results

Mean plasma HMS5552 concentration versus time following a single oral administration was illustrated in Figure 1, and the derived PK parameters were shown in Table 3. The median Tmax of HMS5552 was achieved 1.25~2.50 hours after drug administration in all treatment groups. Cmax increased from 62.6 ng/mL at 5 mg dose to 582.0 ng/mL at 50 mg dose. The geometric mean t1/2 ranged from 4.48 to 7.51 hours, while CL/f was approximately 12 L/h across all doses (11.5~13.1 L/h). Renal excretion of HMS5552 appeared to be a secondary route of elimination. For all treatment groups, the fraction of HMS5552 in urine over the 72-hour interval was below 11% of the administered dose.
Figure 1

Mean HMS5552 plasma concentration (ng/mL) versus time after a single oral administration in healthy subjects at six different doses (n=8 per dose group).

Table 3

Summary of geometric mean (SD) pharmacokinetic parameters of HMS5552

ParametersHMS5552 (N=48)a
5 mg (n=8)10 mg (n=8)15 mg (n=8)25 mg (n=8)35 mg (n=8)50 mg (n=8)
Cmax (ng/mL)62.6 (11.4)119.0 (26.9)204.0 (41.5)350.0 (65.2)418.0 (68.1)582.0 (202)
Tmax (h)b1.75 (0.46)2.25 (0.99)1.50 (1.24)2.50 (1.58)2.00 (1.07)1.25 (1.77)
AUC0–t (ng⋅h/mL)405 (84.5)857 (140)1,261 (4,349)2,124 (644)2,653 (193)3,969 (1,314)
AUC0–∞ (ng⋅h/mL)413 (86.6)867 (141)1,268 (351)2,135 (646)2,665 (192)3,979 (1,316)
t1/2 (h)4.48 (1.05)6.37 (3.08)5.41 (1.07)6.94 (1.16)7.51 (3.15)6.34 (2.11)
V/f (L)78.3 (15.9)106 (51.7)92.4 (36.8)117 (44.5)142 (53.3)115 (41.0)
CL/f (L/h)12.1 (2.79)11.5 (1.96)11.8 (3.59)11.7 (3.65)13.1 (0.98)12.6 (5.87)
Ae0–72 (mg)0.44 (0.06)0.79 (0.24)1.29 (0.44)2.07 (0.97)3.24 (0.37)5.24 (0.97)
fe0–72 (%)8.85 (1.28)7.90 (2.40)8.57 (2.91)8.29 (3.89)9.25 (1.05)10.48 (1.94)

Notes: N, total number of subjects; n, number of subjects in each group.

Four males and four females per group except the 50 mg group (five males and three females).

Median (SD).

Abbreviations: SD, standard deviation; Cmax, maximum plasma concentration; Tmax, time to reach maximum plasma concentration; AUC0–t, area under the curve 0 to the last quantifiable concentration; AUC0–∞, area under the curve from 0 to infinity; t1/2, terminal elimination half-life; V/f, volume of apparent distribution during the terminal phase; CL/f, apparent total plasma clearance; Ae0–72, amount of drug excreted in urine from 0 to 72 hours; fe0–72, fraction of unchanged dose excreted in urine from 0 to 72 hours.

Statistical analysis showed the slopes β for AUC0–t and Cmax were 0.932 (90% CI: 0.859–1.005, model: ln[AUC0–t] =0.932 * ln[Dose] −3.909) and 0.933 (90% CI: 0.865~1.001, model: ln[Cmax] =0.933 * ln[Dose] −2.169), respectively, indicating a dose-proportional increase of AUC0–t and Cmax in the dose range of 5~50 mg, which can be declared as 90% CIs of the slopes β were within the defined interval (0.8–1.25). No sex-related difference in the PK parameters was found except in Cmax in the 35 mg dose group.

Metabolites’ identification

There were eleven minor metabolites of HMS5552 detected in the human plasma and/or urine, which illustrated the pathways of oxidation, reduction, hydrolysis, and glucuronidation. They were assigned as M1~M11 according to metabolic pathways. Based on the mass intensity, M10 and M11 were the main metabolites in human plasma and urine. Peaks of the parent and metabolites were normalized to yield the percentage of each compound relative to the combined total. In plasma, the only detectable metabolites M10 and M11 were each found at <3%, and M1 at ~1% (Figure 2A). In urine, M10 was approximately 14%, and M11 was 9% at 0~4 hour time period; this proportion remained relatively consistent at other time periods between 4 and 48 hours (Figure 2B). M1~M9 were detectable at much lower amounts in urine.
Figure 2

HMS5552 and its major metabolites in human plasma and urine.

Notes: HMS5552 and its major metabolites in human plasma (A) and urine (B) at different time points. Time point 0~24 hours in plasma is the area under the curve pooling sample.

PD results

Mean glucose concentration versus time was shown in Figure 3A. There was a dose-dependent reduction in FPG (0~4 hours). Maximum glucose lowering occurred in the 50 mg group (percent [%] maximum change from baseline was −31.49 as compared to −6.43, −11.32, −14.88, −18.39, −22.85, and −26.74 for the placebo, 5, 10, 15, 25, and 35 mg doses, respectively). The reductions in FPG demonstrated by maximum glucose change from baseline (%) and mean glucose AUEC0–4 change from baseline (%) were all dose-dependent and statistically significant (P<0.001).
Figure 3

Effect of HMS5552 on mean glucose and insulin concentrations during fasting and after a standardized meal.

Notes: Effect of HMS5552 on mean glucose (A) and insulin (B) concentrations at specified times (-0.5, -0.25, 0, 0.25, 0.5, 1, 2, 3, 4, 4.25, 4.5, 5, and 6 hours [h]) after a single oral administration of HMS5552 at various doses.

There were no significant changes in insulin levels versus dose in the fasting state. However, in the postprandial state, there appeared to be a clear dose-dependent relationship between insulin levels (maximum concentration and AUC4–6) and HMS5552 (Figure 3B). The 50 mg dose group achieved the maximal increase of insulin level (maximal concentration =152.278 µU/mL).

Discussion

In this study, HMS5552 was generally safe and well-tolerated over the evaluated doses ranging from 5 to 50 mg. The incidence and severity of AEs were comparable between placebo and active groups, and there were no dose-dependent increases in AEs observed. In addition, HMS5552 did not show any acute increases in systolic or diastolic blood pressure at any of the doses tested, nor acute perturbations in liver enzymes or lipids, particularly with regard to changes in triglycerides. Longer term T2DM patient studies with HMS5552 of up to 4 weeks dosing duration continue to support the safety findings obtained in this SAD study.15,16 The PK parameters for HMS5552’s plasma exposure (AUC0–t and Cmax) showed dose-proportionality, while the geometric mean t1/2 across all dose-cohorts was up to 7.51 hours. Additional data from multi-dose 1-week and 4-week trials of HMS5552 showed steady state t1/2 values of 8~10 hours.15,16 In contrast, the SAD study for AZD1656, a previous generation of GKA developed by AstraZeneca, showed that the geometric mean t1/2 was ~3 hours.17 MK-0941, another GKA developed by Merck, showed a similar duration of action (~4 hours).18 Besides, HMS5552 exhibited low renal elimination (<11%), indicating hepatic elimination might be the major route of excretion. Based on predictable and consistent PK parameters (AUC0–t and Cmax) across doses as demonstrated by dose-proportionality in this study, these results may provide useful information about dosage adjustments of this drug in subsequent clinical trials and clinical practice. The longer t1/2 also supports a twice daily regimen to improve compliance. Of particular interest were HMS5552’s PD results showing dose-dependent decreases in FPG without concomitant increases in fasting insulin secretion (Figure 3, 0~4 hours). In contrast to the absence of insulin secretion in the fasting state, dose-dependent increases were observed in postprandial insulin secretion (Figure 3B, 4~6 hours). These findings are consistent with GKA’s overall mechanisms-of-action in decreasing hepatic glucose production and stimulating postprandial pancreatic GSIR,17,19,20 assuming a GKA that can maintain the sigmoidal glucose-dependency curve of the natural GK enzyme (nH =1.7).21–23 HMS5552’s Hill coefficient is very close to the natural value at the dose ranges tested in this study (nH ~1.6 at 50 mg with Cmax =1.26 µM), which is salient in demonstrating its glucose-dependent GSIR that could be clinically advantageous.

Conclusion

In summary, this first-in-human study of HMS5552 at doses from 5 to 50 mg in healthy subjects demonstrated a favorable safety profile with linear PK kinetics and dose-related glucose-lowering effects. The safety, efficacy, and β-cell sparing potential of HMS5552 are being investigated in multiple Phase I and Phase II clinical trials, including in monotherapy as well as in combination studies with metformin. These studies will provide a clearer basis for understanding the potential of HMS5552 to be a clinically differentiated T2DM treatment.
  20 in total

1.  Tolerability, pharmacokinetics, and pharmacodynamics of the glucokinase activator AZD1656, after single ascending doses in healthy subjects during euglycemic clamp.

Authors:  Hans Ericsson; Daniel Röshammar; Maria Wollbratt; Maria Heijer; Maria Persson; Shinya Ueda; Maria Leonsson-Zachrisson; Ensio Norjavaara
Journal:  Int J Clin Pharmacol Ther       Date:  2012-11       Impact factor: 1.366

2.  Identification of a new class of glucokinase activators through structure-based design.

Authors:  Ronald J Hinklin; Steven A Boyd; Mark J Chicarelli; Kevin R Condroski; Walter E DeWolf; Patrice A Lee; Waiman Lee; Ajay Singh; Laurie Thomas; Walter C Voegtli; Lance Williams; Thomas D Aicher
Journal:  J Med Chem       Date:  2013-09-25       Impact factor: 7.446

3.  Human duodenal enteroendocrine cells: source of both incretin peptides, GLP-1 and GIP.

Authors:  Michael J Theodorakis; Olga Carlson; Spyros Michopoulos; Máire E Doyle; Magdalena Juhaszova; Kalliopi Petraki; Josephine M Egan
Journal:  Am J Physiol Endocrinol Metab       Date:  2005-10-11       Impact factor: 4.310

4.  Piragliatin (RO4389620), a novel glucokinase activator, lowers plasma glucose both in the postabsorptive state and after a glucose challenge in patients with type 2 diabetes mellitus: a mechanistic study.

Authors:  Riccardo C Bonadonna; Tim Heise; Christophe Arbet-Engels; Christoph Kapitza; Angelo Avogaro; Joe Grimsby; Jay Zhi; Joseph F Grippo; Raffaella Balena
Journal:  J Clin Endocrinol Metab       Date:  2010-08-25       Impact factor: 5.958

5.  Chronic treatment with a glucokinase activator delays the onset of hyperglycaemia and preserves beta cell mass in the Zucker diabetic fatty rat.

Authors:  M Futamura; J Yao; X Li; R Bergeron; J-L Tran; E Zycband; J Woods; Y Zhu; Q Shao; H Maruki-Uchida; H Goto-Shimazaki; R B Langdon; M D Erion; J Eiki; Y-P Zhou
Journal:  Diabetologia       Date:  2012-01-11       Impact factor: 10.122

6.  Allosteric activators of glucokinase: potential role in diabetes therapy.

Authors:  Joseph Grimsby; Ramakanth Sarabu; Wendy L Corbett; Nancy-Ellen Haynes; Fred T Bizzarro; John W Coffey; Kevin R Guertin; Darryl W Hilliard; Robert F Kester; Paige E Mahaney; Linda Marcus; Lida Qi; Cheryl L Spence; John Tengi; Mark A Magnuson; Chang An Chu; Mark T Dvorozniak; Franz M Matschinsky; Joseph F Grippo
Journal:  Science       Date:  2003-07-18       Impact factor: 47.728

Review 7.  Strategies for the design of hepatoselective glucokinase activators to treat type 2 diabetes.

Authors:  Jeffrey A Pfefferkorn
Journal:  Expert Opin Drug Discov       Date:  2013-01-06       Impact factor: 6.098

Review 8.  Assessing the potential of glucokinase activators in diabetes therapy.

Authors:  Franz M Matschinsky
Journal:  Nat Rev Drug Discov       Date:  2009-04-17       Impact factor: 84.694

9.  GKAs for diabetes therapy: why no clinically useful drug after two decades of trying?

Authors:  Franz M Matschinsky
Journal:  Trends Pharmacol Sci       Date:  2013-01-07       Impact factor: 14.819

10.  Effects of MK-0941, a novel glucokinase activator, on glycemic control in insulin-treated patients with type 2 diabetes.

Authors:  Gary E Meininger; Russell Scott; Maria Alba; Yue Shentu; Edmund Luo; Himal Amin; Michael J Davies; Keith D Kaufman; Barry J Goldstein
Journal:  Diabetes Care       Date:  2011-10-12       Impact factor: 19.112

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  7 in total

1.  Development of a Physiologically Based Pharmacokinetic Model for Sinogliatin, a First-in-Class Glucokinase Activator, by Integrating Allometric Scaling, In Vitro to In Vivo Exploration and Steady-State Concentration-Mean Residence Time Methods: Mechanistic Understanding of its Pharmacokinetics.

Authors:  Ling Song; Yi Zhang; Ji Jiang; Shuang Ren; Li Chen; Dongyang Liu; Xijing Chen; Pei Hu
Journal:  Clin Pharmacokinet       Date:  2018-10       Impact factor: 6.447

2.  Translational Modeling and Simulation in Supporting Early-Phase Clinical Development of New Drug: A Learn-Research-Confirm Process.

Authors:  Dongyang Liu; Yi Zhang; Ji Jiang; John Choi; Xuening Li; Dalong Zhu; Dawei Xiao; Yanhua Ding; Hongwei Fan; Li Chen; Pei Hu
Journal:  Clin Pharmacokinet       Date:  2017-08       Impact factor: 6.447

3.  Effect of renal impairment on the pharmacokinetics and safety of dorzagliatin, a novel dual-acting glucokinase activator.

Authors:  Jia Miao; Ping Fu; Shuang Ren; Chao Hu; Ying Wang; Chengfeng Jiao; Ping Li; Yu Zhao; Cui Tang; Yuli Qian; Rong Yang; Yanli Dong; Jing Rong; Yaohui Wang; Xiaowei Jin; Yu Sun; Li Chen
Journal:  Clin Transl Sci       Date:  2021-11-11       Impact factor: 4.689

4.  Dorzagliatin in drug-naïve patients with type 2 diabetes: a randomized, double-blind, placebo-controlled phase 3 trial.

Authors:  Dalong Zhu; Xiaoying Li; Jianhua Ma; Jiao'e Zeng; Shenglian Gan; Xiaolin Dong; Jing Yang; Xiaohong Lin; Hanqing Cai; Weihong Song; Xuefeng Li; Keqin Zhang; Qiu Zhang; Yibing Lu; Ruifang Bu; Huige Shao; Guixia Wang; Guoyue Yuan; Xingwu Ran; Lin Liao; Wenjuan Zhao; Ping Li; Li Sun; Lixin Shi; Zhaoshun Jiang; Yaoming Xue; Hongwei Jiang; Quanmin Li; Zongbao Li; Maoxiong Fu; Zerong Liang; Lian Guo; Ming Liu; Chun Xu; Wenhui Li; Xuefeng Yu; Guijun Qin; Zhou Yang; Benli Su; Longyi Zeng; Houfa Geng; Yongquan Shi; Yu Zhao; Yi Zhang; Wenying Yang; Li Chen
Journal:  Nat Med       Date:  2022-05-12       Impact factor: 87.241

5.  Pyridoxine dipharmacophore derivatives as potent glucokinase activators for the treatment of type 2 diabetes mellitus.

Authors:  Mikhail S Dzyurkevich; Denis A Babkov; Nikita V Shtyrlin; Olga Yu Mayka; Alfiya G Iksanova; Pavel M Vassiliev; Konstantin V Balakin; Alexander A Spasov; Vadim V Tarasov; George Barreto; Yurii G Shtyrlin; Gjumrakch Aliev
Journal:  Sci Rep       Date:  2017-11-22       Impact factor: 4.379

6.  Dorzagliatin add-on therapy to metformin in patients with type 2 diabetes: a randomized, double-blind, placebo-controlled phase 3 trial.

Authors:  Wenying Yang; Dalong Zhu; Shenglian Gan; Xiaolin Dong; Junping Su; Wenhui Li; Hongwei Jiang; Wenjuan Zhao; Minxiu Yao; Weihong Song; Yibing Lu; Xiuzhen Zhang; Huifang Li; Guixia Wang; Wei Qiu; Guoyue Yuan; Jianhua Ma; Wei Li; Ziling Li; Xiaoyue Wang; Jiao'e Zeng; Zhou Yang; Jingdong Liu; Yongqian Liang; Song Lu; Huili Zhang; Hui Liu; Ping Liu; Kuanlu Fan; Xiaozhen Jiang; Yufeng Li; Qing Su; Tao Ning; Huiwen Tan; Zhenmei An; Zhaoshun Jiang; Lijun Liu; Zunhai Zhou; Qiu Zhang; Xuefeng Li; Zhongyan Shan; Yaoming Xue; Hong Mao; Lixin Shi; Shandong Ye; Xiaomei Zhang; Jiao Sun; Ping Li; Tao Yang; Feng Li; Jingna Lin; Zhinong Zhang; Ying Zhao; Ruonan Li; Xiaohui Guo; Qi Yao; Weiping Lu; Shen Qu; Hongmei Li; Liling Tan; Wenbo Wang; Yongli Yao; Daoxiong Chen; Yulan Li; Jialin Gao; Wen Hu; Xiaoqiang Fei; Tianfeng Wu; Song Dong; Wenlong Jin; Chenzhong Li; Dong Zhao; Bo Feng; Yu Zhao; Yi Zhang; Xiaoying Li; Li Chen
Journal:  Nat Med       Date:  2022-05-12       Impact factor: 87.241

Review 7.  Glucokinase as an emerging anti-diabetes target and recent progress in the development of its agonists.

Authors:  Yixin Ren; Li Li; Li Wan; Yan Huang; Shuang Cao
Journal:  J Enzyme Inhib Med Chem       Date:  2022-12       Impact factor: 5.051

  7 in total

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